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Extrapolation limitations of multilayer feedforward neural networksThe limitations of backpropagation used as a function extrapolator were investigated. Four common functions were used to investigate the network's extrapolation capability. The purpose of the experiment was to determine whether neural networks are capable of extrapolation and, if so, to determine the range for which networks can extrapolate. The authors show that neural networks cannot extrapolate and offer an explanation to support this result.
Document ID
19930053019
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Haley, Pamela J.
(NASA Langley Research Center Hampton, VA, United States)
Soloway, Donald
(NASA Langley Research Center Hampton, VA, United States)
Date Acquired
August 16, 2013
Publication Date
January 1, 1992
Publication Information
Publication: In: IJCNN - International Joint Conference on Neural Networks, Baltimore, MD, June 7-11, 1992, Proceedings. Vol. 4 (A93-37001 14-63)
Publisher: Institute of Electrical and Electronics Engineers, Inc.
Subject Category
Cybernetics
Accession Number
93A37016
Distribution Limits
Public
Copyright
Other

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